TensorRT 8.5.3
|
A elementwise layer in a network definition. More...
#include <NvInfer.h>
Public Member Functions | |
void | setOperation (ElementWiseOperation op) noexcept |
Set the binary operation for the layer. More... | |
ElementWiseOperation | getOperation () const noexcept |
Get the binary operation for the layer. More... | |
Public Member Functions inherited from nvinfer1::ILayer | |
LayerType | getType () const noexcept |
Return the type of a layer. More... | |
void | setName (char const *name) noexcept |
Set the name of a layer. More... | |
char const * | getName () const noexcept |
Return the name of a layer. More... | |
int32_t | getNbInputs () const noexcept |
Get the number of inputs of a layer. More... | |
ITensor * | getInput (int32_t index) const noexcept |
Get the layer input corresponding to the given index. More... | |
int32_t | getNbOutputs () const noexcept |
Get the number of outputs of a layer. More... | |
ITensor * | getOutput (int32_t index) const noexcept |
Get the layer output corresponding to the given index. More... | |
void | setInput (int32_t index, ITensor &tensor) noexcept |
Replace an input of this layer with a specific tensor. More... | |
void | setPrecision (DataType dataType) noexcept |
Set the computational precision of this layer. More... | |
DataType | getPrecision () const noexcept |
get the computational precision of this layer More... | |
bool | precisionIsSet () const noexcept |
whether the computational precision has been set for this layer More... | |
void | resetPrecision () noexcept |
reset the computational precision for this layer More... | |
void | setOutputType (int32_t index, DataType dataType) noexcept |
Set the output type of this layer. More... | |
DataType | getOutputType (int32_t index) const noexcept |
get the output type of this layer More... | |
bool | outputTypeIsSet (int32_t index) const noexcept |
whether the output type has been set for this layer More... | |
void | resetOutputType (int32_t index) noexcept |
reset the output type for this layer More... | |
Protected Member Functions | |
virtual | ~IElementWiseLayer () noexcept=default |
Protected Member Functions inherited from nvinfer1::ILayer | |
virtual | ~ILayer () noexcept=default |
Protected Member Functions inherited from nvinfer1::INoCopy | |
INoCopy ()=default | |
virtual | ~INoCopy ()=default |
INoCopy (INoCopy const &other)=delete | |
INoCopy & | operator= (INoCopy const &other)=delete |
INoCopy (INoCopy &&other)=delete | |
INoCopy & | operator= (INoCopy &&other)=delete |
Protected Attributes | |
apiv::VElementWiseLayer * | mImpl |
Protected Attributes inherited from nvinfer1::ILayer | |
apiv::VLayer * | mLayer |
A elementwise layer in a network definition.
This layer applies a per-element binary operation between corresponding elements of two tensors.
The input tensors must have the same rank. For each dimension, their lengths must match, or one of them must be one. In the latter case, the tensor is broadcast along that axis.
The output tensor has the same rank as the inputs. For each output dimension, its length is equal to the lengths of the corresponding input dimensions if they match, otherwise it is equal to the length that is not one.
|
protectedvirtualdefaultnoexcept |
|
inlinenoexcept |
Get the binary operation for the layer.
|
inlinenoexcept |
Set the binary operation for the layer.
DLA supports only kSUM, kPROD, kMAX, kMIN, and kSUB.
|
protected |
Copyright © 2024 NVIDIA Corporation
Privacy Policy |
Manage My Privacy |
Do Not Sell or Share My Data |
Terms of Service |
Accessibility |
Corporate Policies |
Product Security |
Contact